Sixth generation systems are expected to face new security challenges, while opening up frontiers toward context awareness in the wireless edge. The workhorse behind this projected technological leap will be a whole set of sensing capabilities predicted for 6G devices, addition edge and device embedded intelligence. combination these enhanced traits can give rise breed adaptive context-aware protocols, following quality (QoSec) paradigm. In framework, physical layer solutions emerge as...

The research in the sixth generation of wireless networks needs to tackle new challenges order meet requirements emerging applications terms high data rate, low latency, reliability, and massive connectivity. To this end, entire communication chain be optimized, including channel surrounding environment, as it is no longer sufficient control transmitter and/or receiver only. Investigating large intelligent surfaces, ultra-massive multiple-input-multiple-output, smart constructive...

This article studies and derives beamforming design in a dual-functional radar-communication (DFRC) multiple-input-multiple-output system. We focus on scenario, where the DFRC base station communicates with downlink communication users, imperfect channel state information knowledge, performs target detection, all via same transmit signal. Through careful relaxation procedures, we arrive at suitable novel optimization problem, which maximizes radar output power Bartlett sense, under...

Indoor localization techniques based on supervised learning deliver great performance accuracy while maintaining low online complexity. However, such systems require massive amounts of data for offline training, which necessitates costly measurements. The essence this paper is twofold with the purpose providing solutions to missing different nature: available unlabeled and data. In both cases, we rely a few labeled data, yet insufficient achieve high accuracy. To address problem weighted...

We present a novel approach to the problem of dual-functional radar and communication (DFRC) waveform design with adjustable peak-to-average power ratio (PAPR), while minimizing multi-user interference maintaining similarity constraint towards chirp signal. The is applicable generic signals for different constellation sizes. formulate as non convex optimization problem. As solution, we adopt alternating direction method multipliers (ADMM), hence iterating stable both purposes. Additionally,...

In this letter, we propose dual-mode chirp spread spectrum (DM-CSS) modulation for low-power wide-area networks. DM-CSS is capable of achieving a higher spectral efficiency (SE) relative to its counterparts, such as Long Range (LoRa) modulation. Considering the same symbol period, SE in are augmented by: (i) simultaneously multiplexing even and odd signals; (ii) using phase shifts \(0\) \(\pi\) radians both (iii) either up-chirp or down-chirp signal. The increases by up \(116.66\%\)...

In this work, we introduce dual-mode (DM) time domain multiplexed (TDM) chirp spread spectrum (CSS), which offers improved spectral and energy efficiency for low-power wide-area networks (LPWANs). Previous work on LPWANs has proposed DM-CSS modulation using even odd frequency shifts (FSs) to enhance performance over classical approaches. However, its is only half that of the in-phase quadrature (IQ)-TDM-CSS scheme, employs IQ components with both up down chirps, resulting in a four times...

Integrated sensing and communication (ISAC) in wireless systems has emerged as a promising paradigm, offering the potential for improved performance, efficient resource utilization, mutually beneficial interactions between radar communications, thereby shaping future of technologies. In this work, we present two novel methods to address joint angle arrival departure estimation problem bistatic ISAC systems. Our proposed consist deep learning (DL) solution leveraging complex neural networks,...

Driven by the pursuit of gigabit-per-second data speeds for future 6G mobile networks, in addition to support sensing and artificial intelligence applications, industry is expanding beyond crowded sub-6 GHz bands with innovative new spectrum allocations. In this paper, we chart a compelling vision within frequency range 3 (FR3) spectrum, i.e. \(7.125\)-\(24.25\)\(GHz\), delving into its key enablers addressing multifaceted challenges that lie ahead these bands. Here highlight physical...

IEEE 802.11p standard is specially developed to define vehicular communications requirements and support cooperative intelligent transport systems. In such environment, reliable channel estimation considered as a major critical challenge for ensuring the system performance due extremely time-varying characteristic of channels. The preamble based, which becomes inaccurate in high mobility scenarios. track variations over course packet length while adhering specifications. motivation behind...

Several location-based services require accurate location information in indoor environments. Recently, it has been shown that deep neural network (DNN) based received signal strength indicator (RSSI) fingerprints achieve high localization performance with low online complexity. However, such methods a very large amount of training data, order to properly design and optimize the DNN model, which makes data collection costly. In this paper, we propose generative adversarial networks for RSSI...

In this paper, we study a communication-centric integrated sensing and communication (ISAC) approach, where an access point (AP) communicates with users, while passive radar (PR) is present in the environment. We investigate deployment of reconfigurable intelligent surface (RIS) to enable PR localize target. derive optimization problem for updating phase shifters RIS per epoch. Due limited information at PR, such as unknown payload number targets scene, propose two methods capable performing...

<p>Long Range (LoRa) is one of the most promising and widespread chirp spread spectrum (CSS)-based physical (PHY) layer technique for low-power wide-area networks (LPWANs). Using different spreading factors, LoRa can attain spectral/energy efficiencies, target multitude Internet-of-Thing (IoT) applications. However, limiting factors low bit rate. Little to no effort has been made in order improve achievable rate LoRa, until recently, when a number CSS-based PHY alternative are proposed...

The following paper models a secure full duplex (FD) integrated sensing and communication (ISAC) scenario, where malicious eavesdroppers aim at intercepting the downlink (DL) as well uplink (UL) information exchanged between dual functional radar (DFRC) base station (BS) set of users. DFRC BS, on other hand, aims illuminating beams in order to sense their physical parameters, while maintaining high UL/DL secrecy rates. Based proposed model, we formulate power efficient ISAC optimization...

The following paper introduces a novel integrated sensing and communication (ISAC) scenario termed hybrid radar fusion. In this setting, the dual-functional communications (DFRC) base station (BS) acts as mono-static in downlink (DL), for purposes, while performing its DL tasks. Meanwhile, users act distributed bi-static nodes uplink (UL) frequency-division duplex protocol. DFRC BS fuses information available at different UL resource bands to estimate angles-of-arrival (AoAs) of multiple...

Chirp spread spectrum (CSS) is the modulation technique currently employed by Long-Range (LoRa), which one of most prominent Internet things wireless communications standards. The LoRa physical layer (PHY) employs CSS on top a variant frequency shift keying, and non-coherent detection at receiver. While it offers good trade-off among coverage, data rate device simplicity, its maximum achievable still limiting factor for some applications. Moreover, current standard does not fully exploit...

Wireless communications systems are impacted by multi-path fading and Doppler shift in dynamic environments, where the channel becomes doubly-dispersive its estimation an arduous task. Only a few pilots used for conventional approaches to preserve high data rate transmission. Consequently, such estimators experience significant performance degradation mobility scenarios. Recently, deep learning has been employed due low-complexity, robustness, good generalization ability. Against this...

Orthogonal time frequency space modulation (OTFS) has been recently proposed to achieve and diversity, especially in linear time-variant (LTV) channels with large Doppler frequencies. The idea is based on the precoding of data symbols using symplectic finite Fourier transform (SFFT) then transmitting them by mean orthogonal division multiplexing (OFDM) waveform. Consequently, demodulation channel equalization can be coupled one processing step. As a distinguished feature, demodulated have...

Narrow Band-Internet of Thing (NB-IoT) is a recently proposed technology by 3GPP in Release-13. It provides low energy consumption and wide coverage order to meet the requirements its diverse applications that span social, industrial environmental aspects. Increasing number repetitions transmission has been selected as promising approach enhance NB-IoT up 164 dB terms maximum coupling loss for uplink transmissions, which significant improvement compared with legacy LTE technologies,...

In this paper, we investigate three different concepts for robust link-level performance under doubly-dispersive wireless channels, namely, i) channel estimation, ii) cyclic prefix (CP)-free transmission, and iii) waveform design. We employ a unique word-based where decouple the related errors into estimation error (CEE) Doppler (DE). Then, show that trade-off between CEE DE emerges in frame design, system can be optimized to achieve minimum composite error. Another strategy improve is...

In vehicular communications, reliable channel estimation is critical for the system performance due to doubly-dispersive nature of channels. IEEE 802.11p standard allocates insufficient pilots accurate tracking. Consequently, conventional estimators suffer from a considerable degradation, especially in high mobility scenarios. Recently, deep learning (DL) techniques have been employed estimation. Nevertheless, these methods either degradation very scenarios or large computational complexity....

This paper addresses the energy consumption concern of LPWAN by proposing an extension for LoRa modulation. Conventional encodes data in frequency shift a chirp, our consists encoding additional phase- using PSK modulation, giving rise to PSK-LoRa. Our motivation is encode more per unit time without performance degradation, such that we have efficient system. In order assess PSK-LoRa, derive approximate bit error rate and packet expressions, then compare against simulation. For instance,...

This paper proposes a low-complexity iterative receiver for the recently proposed Orthogonal Chirp Division Multiplexing (OCDM) modulation scheme, where we consider system under frequency-selective channels and constrained to channel state information availability only at receiver. It has been shown that these assumptions, OCDM becomes an optimal waveform in terms of performance, i.e., frame error rate (FER), when employing capable achieving perfect feedback equalizer (PFE) performance....